Maritime target detection, estimation and classification in Bistatic ultra wideband forward scattering radar

Data mining algorithms are applied on the small volumes of available data from recorded signals of UWB Bistatic maritime FSR system for more precise target classification. The rough estimation (pre-classification) of the length, reflected energy of the target is received from signal records with an original structure of a CFAR processor, for target detection and estimation in the time domains. The scientific results presented in the paper are achieved based on processing real data collected with an FSR maritime system by the researchers from Birmingham University.